Convolutional neural networks for toxic comment classification SV Georgakopoulos, SK Tasoulis, AG Vrahatis, VP Plagianakos Proceedings of the 10th hellenic conference on artificial intelligence, 1-6, 2018 | 298 | 2018 |
Pathway analysis using XGBoost classification in Biomedical Data GN Dimitrakopoulos, AG Vrahatis, V Plagianakos, K Sgarbas Proceedings of the 10th Hellenic conference on artificial intelligence, 1-6, 2018 | 46 | 2018 |
COVID-19 classification on chest X-ray images using deep learning methods M Constantinou, T Exarchos, AG Vrahatis, P Vlamos International Journal of Environmental Research and Public Health 20 (3), 2035, 2023 | 41 | 2023 |
Revolutionizing the early detection of Alzheimer’s disease through non-invasive biomarkers: the role of artificial intelligence and deep learning AG Vrahatis, K Skolariki, MG Krokidis, K Lazaros, TP Exarchos, P Vlamos Sensors 23 (9), 4184, 2023 | 40 | 2023 |
CHRONOS: a time-varying method for microRNA-mediated subpathway enrichment analysis AG Vrahatis, K Dimitrakopoulou, P Balomenos, AK Tsakalidis, ... Bioinformatics 32 (6), 884-892, 2016 | 40 | 2016 |
DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments AG Vrahatis, P Balomenos, AK Tsakalidis, A Bezerianos Bioinformatics 32 (24), 3844-3846, 2016 | 38 | 2016 |
A network-based perspective in Alzheimer's disease: current state and an integrative framework A Dragomir, AG Vrahatis, A Bezerianos IEEE journal of biomedical and health informatics 23 (1), 14-25, 2018 | 35 | 2018 |
Integromics network meta-analysis on cardiac aging offers robust multi-layer modular signatures and reveals micronome synergism K Dimitrakopoulou, AG Vrahatis, A Bezerianos BMC genomics 16, 1-22, 2015 | 24 | 2015 |
An ensemble feature selection approach for analysis and modeling of transcriptome data in alzheimer’s disease P Paplomatas, MG Krokidis, P Vlamos, AG Vrahatis Applied Sciences 13 (4), 2353, 2023 | 20 | 2023 |
A sensor-based perspective in early-stage parkinson’s disease: Current state and the need for machine learning processes MG Krokidis, GN Dimitrakopoulos, AG Vrahatis, C Tzouvelekis, ... Sensors 22 (2), 409, 2022 | 20 | 2022 |
Real time sentiment change detection of twitter data streams SK Tasoulis, AG Vrahatis, SV Georgakopoulos, VP Plagianakos arXiv preprint arXiv:1804.00482, 2018 | 20 | 2018 |
Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents AG Drakopoulos, G., Kanavos, A., Karydis, I., Sioutas, S., & Vrahatis Computation 5 (3), 34, 2017 | 20 | 2017 |
Approximate kNN Classification for Biomedical Data SKT Panagiotis Anagnostou, Petros Barbas, Aristidis G. Vrahatis 2020 IEEE International Conference on Big Data (Big Data) 1, 3602-3607, 2020 | 16 | 2020 |
Driving mental fatigue classification based on brain functional connectivity GN Dimitrakopoulos, I Kakkos, AG Vrahatis, K Sgarbas, J Li, Y Sun, ... Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 14 | 2017 |
Biomedical data ensemble classification using random projections SK Tasoulis, AG Vrahatis, SV Georgakopoulos, VP Plagianakos 2018 IEEE International Conference on Big Data (Big Data), 166-172, 2018 | 12 | 2018 |
Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology AG Vrahatis, GN Dimitrakopoulos, AK Tsakalidis, A Bezerianos 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 12 | 2015 |
Convolutional neural networks for twitter text toxicity analysis SV Georgakopoulos, SK Tasoulis, AG Vrahatis, VP Plagianakos Recent Advances in Big Data and Deep Learning: Proceedings of the INNS Big …, 2020 | 10 | 2020 |
Identifying disease network perturbations through regression on gene expression and pathway topology analysis GN Dimitrakopoulos, P Balomenos, AG Vrahatis, K Sgarbas, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 10 | 2016 |
Change detection and convolution neural networks for fall recognition SV Georgakopoulos, SK Tasoulis, GI Mallis, AG Vrahatis, VP Plagianakos, ... Neural Computing and Applications 32, 17245-17258, 2020 | 9 | 2020 |
Investigating the aetiology of adverse events following HPV vaccination with systems vaccinology J Campbell-Tofte, A Vrahatis, K Josefsen, J Mehlsen, K Winther Cellular and molecular life sciences 76, 67-87, 2019 | 9 | 2019 |